Overview

Dataset statistics

Number of variables88
Number of observations1190
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory818.2 KiB
Average record size in memory704.1 B

Variable types

Numeric7
Categorical81

Alerts

7 has constant value "0.0"Constant
8 has constant value "0.0"Constant
9 has constant value "0.0"Constant
10 has constant value "0.0"Constant
11 has constant value "0.0"Constant
12 has constant value "0.0"Constant
13 has constant value "0.0"Constant
14 has constant value "0.0"Constant
15 has constant value "0.0"Constant
16 has constant value "0.0"Constant
17 has constant value "0.0"Constant
18 has constant value "0.0"Constant
19 has constant value "0.0"Constant
20 has constant value "0.0"Constant
21 has constant value "0.0"Constant
22 has constant value "0.0"Constant
23 has constant value "0.0"Constant
24 has constant value "0.0"Constant
25 has constant value "0.0"Constant
26 has constant value "0.0"Constant
27 has constant value "0.0"Constant
28 has constant value "0.0"Constant
29 has constant value "0.0"Constant
30 has constant value "0.0"Constant
31 has constant value "0.0"Constant
32 has constant value "0.0"Constant
33 has constant value "0.0"Constant
34 has constant value "0.0"Constant
35 has constant value "0.0"Constant
36 has constant value "0.0"Constant
40 has constant value "0.0"Constant
41 has constant value "0.0"Constant
42 has constant value "0.0"Constant
43 has constant value "0.0"Constant
44 has constant value "0.0"Constant
45 has constant value "0.0"Constant
46 has constant value "0.0"Constant
47 has constant value "0.0"Constant
48 has constant value "0.0"Constant
49 has constant value "0.0"Constant
50 has constant value "0.0"Constant
51 has constant value "0.0"Constant
52 has constant value "0.0"Constant
53 has constant value "0.0"Constant
54 has constant value "0.0"Constant
55 has constant value "0.0"Constant
56 has constant value "0.0"Constant
57 has constant value "0.0"Constant
58 has constant value "0.0"Constant
59 has constant value "0.0"Constant
60 has constant value "0.0"Constant
61 has constant value "0.0"Constant
62 has constant value "0.0"Constant
63 has constant value "0.0"Constant
64 has constant value "0.0"Constant
65 has constant value "0.0"Constant
66 has constant value "0.0"Constant
67 has constant value "0.0"Constant
68 has constant value "0.0"Constant
71 has constant value "0.0"Constant
72 has constant value "0.0"Constant
73 has constant value "0.0"Constant
74 has constant value "0.0"Constant
76 has constant value "0.0"Constant
77 has constant value "0.0"Constant
79 has constant value "0.0"Constant
80 has constant value "0.0"Constant
82 has constant value "0.0"Constant
85 has constant value "0.0"Constant
86 has constant value "0.0"Constant
87 has constant value "0.0"Constant
3 is highly overall correlated with 4High correlation
37 is highly overall correlated with 38 and 1 other fieldsHigh correlation
38 is highly overall correlated with 37 and 1 other fieldsHigh correlation
39 is highly overall correlated with 37 and 1 other fieldsHigh correlation
4 is highly overall correlated with 3High correlation
78 is highly overall correlated with 81 and 1 other fieldsHigh correlation
81 is highly overall correlated with 78 and 1 other fieldsHigh correlation
83 is highly overall correlated with 78 and 2 other fieldsHigh correlation
84 is highly overall correlated with 83High correlation
78 is highly imbalanced (52.4%)Imbalance
3 has 45 (3.8%) zerosZeros
37 has 29 (2.4%) zerosZeros
69 has 71 (6.0%) zerosZeros
70 has 89 (7.5%) zerosZeros

Reproduction

Analysis started2024-05-15 15:53:29.402455
Analysis finished2024-05-15 15:53:41.472329
Duration12.07 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

0
Real number (ℝ)

Distinct60
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.865921 × 10-16
Minimum-2.6718422
Maximum2.7062007
Zeros3
Zeros (%)0.3%
Negative561
Negative (%)47.1%
Memory size9.4 KiB
2024-05-15T22:53:41.624345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-2.6718422
5-th percentile-1.7306847
Q1-0.65507613
median0.061996254
Q30.68943459
95-th percentile1.5857751
Maximum2.7062007
Range5.3780429
Interquartile range (IQR)1.3445107

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)-5.3615368 × 1015
Kurtosis-0.25072477
Mean-1.865921 × 10-16
Median Absolute Deviation (MAD)0.71707238
Skewness-0.1380738
Sum-2.2026825 × 10-13
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:53:41.839283image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2412643498 61
 
5.1%
0.1516303019 59
 
5.0%
0.4205324458 50
 
4.2%
-0.7447101778 47
 
3.9%
0.3308983978 47
 
3.9%
0.8687026856 43
 
3.6%
0.0619962539 39
 
3.3%
-0.4758080339 38
 
3.2%
-0.296539938 37
 
3.1%
-0.117271842 36
 
3.0%
Other values (50) 733
61.6%
ValueCountFrequency (%)
-2.671842209 4
 
0.3%
-2.537391137 3
 
0.3%
-2.447757089 2
 
0.2%
-2.358123041 4
 
0.3%
-2.268488993 5
 
0.4%
-2.178854945 2
 
0.2%
-2.089220897 13
1.1%
-1.999586849 10
0.8%
-1.909952801 4
 
0.3%
-1.820318753 6
0.5%
ValueCountFrequency (%)
2.706200669 2
 
0.2%
2.482115549 4
 
0.3%
2.392481501 2
 
0.2%
2.302847453 1
 
0.1%
2.213213405 1
 
0.1%
2.123579357 3
 
0.3%
2.033945309 10
0.8%
1.944311261 4
 
0.3%
1.854677213 7
0.6%
1.765043165 11
0.9%

1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size87.7 KiB
0.7088901554720962
792 
-1.4106557867685932
398 

Length

Max length19
Median length18
Mean length18.334454
Min length18

Characters and Unicode

Total characters21818
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.7088901554720962
2nd row0.7088901554720962
3rd row0.7088901554720962
4th row-1.4106557867685932
5th row0.7088901554720962

Common Values

ValueCountFrequency (%)
0.7088901554720962 792
66.6%
-1.4106557867685932 398
33.4%

Length

2024-05-15T22:53:42.033285image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:42.182333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.7088901554720962 792
66.6%
1.4106557867685932 398
33.4%

Most occurring characters

ValueCountFrequency (%)
0 3566
16.3%
5 2778
12.7%
7 2380
10.9%
8 2380
10.9%
6 1986
9.1%
9 1982
9.1%
2 1982
9.1%
1 1588
7.3%
. 1190
 
5.5%
4 1190
 
5.5%
Other values (2) 796
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20230
92.7%
Other Punctuation 1190
 
5.5%
Dash Punctuation 398
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3566
17.6%
5 2778
13.7%
7 2380
11.8%
8 2380
11.8%
6 1986
9.8%
9 1982
9.8%
2 1982
9.8%
1 1588
7.8%
4 1190
 
5.9%
3 398
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21818
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3566
16.3%
5 2778
12.7%
7 2380
10.9%
8 2380
10.9%
6 1986
9.1%
9 1982
9.1%
2 1982
9.1%
1 1588
7.3%
. 1190
 
5.5%
4 1190
 
5.5%
Other values (2) 796
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3566
16.3%
5 2778
12.7%
7 2380
10.9%
8 2380
10.9%
6 1986
9.1%
9 1982
9.1%
2 1982
9.1%
1 1588
7.3%
. 1190
 
5.5%
4 1190
 
5.5%
Other values (2) 796
 
3.6%

2
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size88.0 KiB
-0.6491580568765987
778 
0.6770189176867532
267 
2.0031958922501047
94 
2.6662843795317808
 
51

Length

Max length19
Median length19
Mean length18.653782
Min length18

Characters and Unicode

Total characters22198
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0031958922501047
2nd row0.6770189176867532
3rd row-0.6491580568765987
4th row-0.6491580568765987
5th row-0.6491580568765987

Common Values

ValueCountFrequency (%)
-0.6491580568765987 778
65.4%
0.6770189176867532 267
 
22.4%
2.0031958922501047 94
 
7.9%
2.6662843795317808 51
 
4.3%

Length

2024-05-15T22:53:42.341330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:42.490328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.6491580568765987 778
65.4%
0.6770189176867532 267
 
22.4%
2.0031958922501047 94
 
7.9%
2.6662843795317808 51
 
4.3%

Most occurring characters

ValueCountFrequency (%)
6 3288
14.8%
8 3115
14.0%
5 2840
12.8%
7 2820
12.7%
0 2517
11.3%
9 2062
9.3%
1 1551
7.0%
. 1190
 
5.4%
4 923
 
4.2%
- 778
 
3.5%
Other values (2) 1114
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20230
91.1%
Other Punctuation 1190
 
5.4%
Dash Punctuation 778
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 3288
16.3%
8 3115
15.4%
5 2840
14.0%
7 2820
13.9%
0 2517
12.4%
9 2062
10.2%
1 1551
7.7%
4 923
 
4.6%
2 651
 
3.2%
3 463
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 778
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 3288
14.8%
8 3115
14.0%
5 2840
12.8%
7 2820
12.7%
0 2517
11.3%
9 2062
9.3%
1 1551
7.0%
. 1190
 
5.4%
4 923
 
4.2%
- 778
 
3.5%
Other values (2) 1114
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 3288
14.8%
8 3115
14.0%
5 2840
12.8%
7 2820
12.7%
0 2517
11.3%
9 2062
9.3%
1 1551
7.0%
. 1190
 
5.4%
4 923
 
4.2%
- 778
 
3.5%
Other values (2) 1114
 
5.0%

3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.3883789 × 10-17
Minimum-0.88156575
Maximum1.7055153
Zeros45
Zeros (%)3.8%
Negative736
Negative (%)61.8%
Memory size9.4 KiB
2024-05-15T22:53:42.644287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.88156575
5-th percentile-0.88156575
Q1-0.88156575
median-0.45038558
Q30.84315494
95-th percentile1.7055153
Maximum1.7055153
Range2.587081
Interquartile range (IQR)1.7247207

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)-4.1887006 × 1016
Kurtosis-1.1147959
Mean-2.3883789 × 10-17
Median Absolute Deviation (MAD)0.43118017
Skewness0.68876546
Sum1.5987212 × 10-14
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:53:42.807327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-0.8815657493 524
44.0%
1.705515284 199
 
16.7%
-0.4503855772 119
 
10.0%
-0.01920540505 93
 
7.8%
1.274335111 79
 
6.6%
0.4119747671 77
 
6.5%
0.8431549392 54
 
4.5%
0 45
 
3.8%
ValueCountFrequency (%)
-0.8815657493 524
44.0%
-0.4503855772 119
 
10.0%
-0.01920540505 93
 
7.8%
0 45
 
3.8%
0.4119747671 77
 
6.5%
0.8431549392 54
 
4.5%
1.274335111 79
 
6.6%
1.705515284 199
 
16.7%
ValueCountFrequency (%)
1.705515284 199
 
16.7%
1.274335111 79
 
6.6%
0.8431549392 54
 
4.5%
0.4119747671 77
 
6.5%
0 45
 
3.8%
-0.01920540505 93
 
7.8%
-0.4503855772 119
 
10.0%
-0.8815657493 524
44.0%

4
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.70172 × 10-16
Minimum-1.0708901
Maximum2.767625
Zeros0
Zeros (%)0.0%
Negative564
Negative (%)47.4%
Memory size9.4 KiB
2024-05-15T22:53:42.951328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.0708901
5-th percentile-1.0708901
Q1-1.0708901
median0.84836745
Q30.84836745
95-th percentile0.84836745
Maximum2.767625
Range3.838515
Interquartile range (IQR)1.9192575

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)5.878878 × 1015
Kurtosis-1.371168
Mean1.70172 × 10-16
Median Absolute Deviation (MAD)0.95962876
Skewness0.0912336
Sum2.4868996 × 10-13
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:53:43.133328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.8483674529 569
47.8%
-1.070890064 524
44.0%
-0.1112613053 40
 
3.4%
1.807996211 29
 
2.4%
2.130803885 × 10-1617
 
1.4%
2.767624969 11
 
0.9%
ValueCountFrequency (%)
-1.070890064 524
44.0%
-0.1112613053 40
 
3.4%
2.130803885 × 10-1617
 
1.4%
0.8483674529 569
47.8%
1.807996211 29
 
2.4%
2.767624969 11
 
0.9%
ValueCountFrequency (%)
2.767624969 11
 
0.9%
1.807996211 29
 
2.4%
0.8483674529 569
47.8%
2.130803885 × 10-1617
 
1.4%
-0.1112613053 40
 
3.4%
-1.070890064 524
44.0%

5
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
1.0895051205123867
468 
-0.1461022192257989
388 
-1.3817095589639845
328 
0.0
 
6

Length

Max length19
Median length19
Mean length18.52605
Min length3

Characters and Unicode

Total characters22046
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0895051205123867
2nd row-1.3817095589639845
3rd row1.0895051205123867
4th row1.0895051205123867
5th row1.0895051205123867

Common Values

ValueCountFrequency (%)
1.0895051205123867 468
39.3%
-0.1461022192257989 388
32.6%
-1.3817095589639845 328
27.6%
0.0 6
 
0.5%

Length

2024-05-15T22:53:43.334508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:43.506554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.0895051205123867 468
39.3%
0.1461022192257989 388
32.6%
1.3817095589639845 328
27.6%
0.0 6
 
0.5%

Most occurring characters

ValueCountFrequency (%)
1 3224
14.6%
5 2776
12.6%
9 2616
11.9%
0 2520
11.4%
2 2488
11.3%
8 2308
10.5%
. 1190
 
5.4%
6 1184
 
5.4%
7 1184
 
5.4%
3 1124
 
5.1%
Other values (2) 1432
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20140
91.4%
Other Punctuation 1190
 
5.4%
Dash Punctuation 716
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3224
16.0%
5 2776
13.8%
9 2616
13.0%
0 2520
12.5%
2 2488
12.4%
8 2308
11.5%
6 1184
 
5.9%
7 1184
 
5.9%
3 1124
 
5.6%
4 716
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22046
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3224
14.6%
5 2776
12.6%
9 2616
11.9%
0 2520
11.4%
2 2488
11.3%
8 2308
10.5%
. 1190
 
5.4%
6 1184
 
5.4%
7 1184
 
5.4%
3 1124
 
5.1%
Other values (2) 1432
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3224
14.6%
5 2776
12.6%
9 2616
11.9%
0 2520
11.4%
2 2488
11.3%
8 2308
10.5%
. 1190
 
5.4%
6 1184
 
5.4%
7 1184
 
5.4%
3 1124
 
5.1%
Other values (2) 1432
6.5%

6
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size87.7 KiB
0.5949813244904116
626 
-1.2560716850353137
439 
1.5205078292532743
119 
-0.330545180272451
 
6

Length

Max length19
Median length18
Mean length18.368908
Min length18

Characters and Unicode

Total characters21859
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.5205078292532743
2nd row-1.2560716850353137
3rd row0.5949813244904116
4th row0.5949813244904116
5th row1.5205078292532743

Common Values

ValueCountFrequency (%)
0.5949813244904116 626
52.6%
-1.2560716850353137 439
36.9%
1.5205078292532743 119
 
10.0%
-0.330545180272451 6
 
0.5%

Length

2024-05-15T22:53:43.689554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:43.869505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.5949813244904116 626
52.6%
1.2560716850353137 439
36.9%
1.5205078292532743 119
 
10.0%
0.330545180272451 6
 
0.5%

Most occurring characters

ValueCountFrequency (%)
1 3326
15.2%
4 2635
12.1%
0 2386
10.9%
5 2318
10.6%
3 2193
10.0%
9 1997
9.1%
2 1553
7.1%
6 1504
6.9%
. 1190
 
5.4%
8 1190
 
5.4%
Other values (2) 1567
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20224
92.5%
Other Punctuation 1190
 
5.4%
Dash Punctuation 445
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3326
16.4%
4 2635
13.0%
0 2386
11.8%
5 2318
11.5%
3 2193
10.8%
9 1997
9.9%
2 1553
7.7%
6 1504
7.4%
8 1190
 
5.9%
7 1122
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 445
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21859
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3326
15.2%
4 2635
12.1%
0 2386
10.9%
5 2318
10.6%
3 2193
10.0%
9 1997
9.1%
2 1553
7.1%
6 1504
6.9%
. 1190
 
5.4%
8 1190
 
5.4%
Other values (2) 1567
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3326
15.2%
4 2635
12.1%
0 2386
10.9%
5 2318
10.6%
3 2193
10.0%
9 1997
9.1%
2 1553
7.1%
6 1504
6.9%
. 1190
 
5.4%
8 1190
 
5.4%
Other values (2) 1567
7.2%

7
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:44.287513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:44.437511image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

8
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:44.579512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:44.710514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

9
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:44.858505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:44.998557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

10
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:45.137551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:45.269552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

11
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:45.414513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:45.561506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

12
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:45.703553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:45.838552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

13
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:45.982554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:46.114559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

14
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:46.256552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:46.396510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

15
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:46.543559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:46.674507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

16
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:46.816507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:46.950512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

17
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:47.092567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:47.230571image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

18
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:47.380617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:47.513611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

19
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:47.674567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:47.809567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

20
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:47.951567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:48.100574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

21
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:48.241567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:48.375608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

22
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:48.535568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:48.674565image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

23
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:48.813609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:48.946566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

24
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:49.114569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:49.254611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

25
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:49.397567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:49.530568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

26
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:49.674567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:49.815579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

27
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:49.963607image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:50.104608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

28
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:50.247562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:50.380562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

29
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:50.521561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:50.669563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

30
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:50.817610image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:50.947567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

31
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:51.092616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:51.229562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

32
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:51.376561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:51.511562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

33
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:51.661562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:51.793562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

34
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:51.935562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:52.069603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

35
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:52.208604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:52.341719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

36
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:52.493679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:52.639673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

37
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1941895 × 10-17
Minimum-0.90727357
Maximum1.553812
Zeros29
Zeros (%)2.4%
Negative793
Negative (%)66.6%
Memory size9.4 KiB
2024-05-15T22:53:52.761674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.90727357
5-th percentile-0.90727357
Q1-0.90727357
median-0.29200218
Q31.553812
95-th percentile1.553812
Maximum1.553812
Range2.4610855
Interquartile range (IQR)2.4610855

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)-8.3774012 × 1016
Kurtosis-1.1817296
Mean-1.1941895 × 10-17
Median Absolute Deviation (MAD)0.61527139
Skewness0.70693453
Sum5.6843419 × 10-14
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:53:52.930722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-0.9072735693 465
39.1%
-0.2920021827 328
27.6%
1.553811977 314
26.4%
0.323269204 34
 
2.9%
0 29
 
2.4%
0.9385405907 20
 
1.7%
ValueCountFrequency (%)
-0.9072735693 465
39.1%
-0.2920021827 328
27.6%
0 29
 
2.4%
0.323269204 34
 
2.9%
0.9385405907 20
 
1.7%
1.553811977 314
26.4%
ValueCountFrequency (%)
1.553811977 314
26.4%
0.9385405907 20
 
1.7%
0.323269204 34
 
2.9%
0 29
 
2.4%
-0.2920021827 328
27.6%
-0.9072735693 465
39.1%

38
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size87.8 KiB
0.3154952196459622
621 
-1.1214869135852568
418 
2.4709684194927903
70 
1.7524773528771809
 
57
-1.5953706502882735e-16
 
24

Length

Max length23
Median length18
Mean length18.452101
Min length18

Characters and Unicode

Total characters21958
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.1214869135852568
2nd row0.3154952196459622
3rd row0.3154952196459622
4th row0.3154952196459622
5th row0.3154952196459622

Common Values

ValueCountFrequency (%)
0.3154952196459622 621
52.2%
-1.1214869135852568 418
35.1%
2.4709684194927903 70
 
5.9%
1.7524773528771809 57
 
4.8%
-1.5953706502882735e-16 24
 
2.0%

Length

2024-05-15T22:53:53.106674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:53.277674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.3154952196459622 621
52.2%
1.1214869135852568 418
35.1%
2.4709684194927903 70
 
5.9%
1.7524773528771809 57
 
4.8%
1.5953706502882735e-16 24
 
2.0%

Most occurring characters

ValueCountFrequency (%)
5 3327
15.2%
1 3146
14.3%
2 3001
13.7%
9 2642
12.0%
6 2196
10.0%
4 1927
8.8%
8 1486
6.8%
3 1214
 
5.5%
. 1190
 
5.4%
0 866
 
3.9%
Other values (3) 963
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20278
92.3%
Other Punctuation 1190
 
5.4%
Dash Punctuation 466
 
2.1%
Lowercase Letter 24
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3327
16.4%
1 3146
15.5%
2 3001
14.8%
9 2642
13.0%
6 2196
10.8%
4 1927
9.5%
8 1486
7.3%
3 1214
 
6.0%
0 866
 
4.3%
7 473
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 466
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21934
99.9%
Latin 24
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3327
15.2%
1 3146
14.3%
2 3001
13.7%
9 2642
12.0%
6 2196
10.0%
4 1927
8.8%
8 1486
6.8%
3 1214
 
5.5%
. 1190
 
5.4%
0 866
 
3.9%
Other values (2) 939
 
4.3%
Latin
ValueCountFrequency (%)
e 24
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3327
15.2%
1 3146
14.3%
2 3001
13.7%
9 2642
12.0%
6 2196
10.0%
4 1927
8.8%
8 1486
6.8%
3 1214
 
5.5%
. 1190
 
5.4%
0 866
 
3.9%
Other values (3) 963
 
4.4%

39
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.3260709 × 10-17
Minimum-0.70950429
Maximum2.2904649
Zeros0
Zeros (%)0.0%
Negative709
Negative (%)59.6%
Memory size9.4 KiB
2024-05-15T22:53:53.436726image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.70950429
5-th percentile-0.70950429
Q1-0.70950429
median-0.70950429
Q30.79048032
95-th percentile2.2904649
Maximum2.2904649
Range2.9999692
Interquartile range (IQR)1.4999846

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)-1.365562 × 1016
Kurtosis0.067631251
Mean-7.3260709 × 10-17
Median Absolute Deviation (MAD)0
Skewness1.1897376
Sum-1.1368684 × 10-13
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:53:53.583673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-0.7095042878 686
57.6%
0.04048801642 156
 
13.1%
0.7904803207 134
 
11.3%
2.290464929 107
 
9.0%
1.540472625 84
 
7.1%
-8.326587245 × 10-1723
 
1.9%
ValueCountFrequency (%)
-0.7095042878 686
57.6%
-8.326587245 × 10-1723
 
1.9%
0.04048801642 156
 
13.1%
0.7904803207 134
 
11.3%
1.540472625 84
 
7.1%
2.290464929 107
 
9.0%
ValueCountFrequency (%)
2.290464929 107
 
9.0%
1.540472625 84
 
7.1%
0.7904803207 134
 
11.3%
0.04048801642 156
 
13.1%
-8.326587245 × 10-1723
 
1.9%
-0.7095042878 686
57.6%

40
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:53.770674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:53.905721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

41
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:54.048721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:54.181675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

42
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:54.336679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:54.476720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

43
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:54.624722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:54.979681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

44
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:55.136681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:55.283719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

45
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:55.428675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:55.567728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

46
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:55.710716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:55.841714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

47
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:55.996682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:56.135679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

48
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:56.278718image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:56.413674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

49
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:56.554679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:56.687678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

50
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:56.844676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:56.993679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

51
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:57.139719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:57.278680image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

52
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:57.426721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:57.555720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

53
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:57.698674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:57.840673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

54
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:57.986711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:58.134717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

55
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:58.283711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:58.420711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

56
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:58.568712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:58.708711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

57
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:58.851711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:58.986712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

58
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:59.140715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:59.271713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

59
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:59.418717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:59.551716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

60
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:59.701712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:53:59.838711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

61
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:53:59.986753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:00.127719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

62
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:00.265748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:00.415711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

63
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:00.562764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:00.701716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

64
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:00.846712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:00.985711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

65
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:01.127714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:01.267711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

66
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:01.419710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:01.552711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

67
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:01.695711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:01.827711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

68
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:01.976758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:02.121713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

69
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4516866 × 10-16
Minimum-2.2595641
Maximum2.5848866
Zeros71
Zeros (%)6.0%
Negative656
Negative (%)55.1%
Memory size9.4 KiB
2024-05-15T22:54:02.290711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-2.2595641
5-th percentile-1.3468415
Q1-0.71495663
median-0.15328118
Q30.51370841
95-th percentile2.1285253
Maximum2.5848866
Range4.8444507
Interquartile range (IQR)1.228665

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)-6.8914354 × 1015
Kurtosis0.20466199
Mean-1.4516866 × 10-16
Median Absolute Deviation (MAD)0.63188488
Skewness0.78112863
Sum-1.9895197 × 10-13
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:54:02.500715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
6.0%
2.584886628 41
 
3.4%
-0.5745377653 24
 
2.0%
-0.4341189033 23
 
1.9%
-0.1532811795 23
 
1.9%
-0.8553754891 22
 
1.8%
-1.206422644 22
 
1.8%
-0.3990141879 21
 
1.8%
-0.7149566272 21
 
1.8%
-0.5043283343 21
 
1.8%
Other values (115) 901
75.7%
ValueCountFrequency (%)
-2.259564108 1
 
0.1%
-2.224459393 1
 
0.1%
-1.838307523 2
 
0.2%
-1.768098092 1
 
0.1%
-1.732993376 1
 
0.1%
-1.697888661 1
 
0.1%
-1.662783945 1
 
0.1%
-1.62767923 2
 
0.2%
-1.592574514 2
 
0.2%
-1.557469799 9
0.8%
ValueCountFrequency (%)
2.584886628 41
3.4%
2.549781913 2
 
0.2%
2.479572482 1
 
0.1%
2.444467766 3
 
0.3%
2.409363051 2
 
0.2%
2.374258335 1
 
0.1%
2.268944189 1
 
0.1%
2.233839473 2
 
0.2%
2.198734758 3
 
0.3%
2.163630042 3
 
0.3%

70
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9640184 × 10-17
Minimum-1.4053356
Maximum1.4330492
Zeros89
Zeros (%)7.5%
Negative533
Negative (%)44.8%
Memory size9.4 KiB
2024-05-15T22:54:02.658716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.4053356
5-th percentile-1.4053356
Q1-1.0505375
median0
Q31.0782511
95-th percentile1.4330492
Maximum1.4330492
Range2.8383848
Interquartile range (IQR)2.1287886

Descriptive statistics

Standard deviation1.0004204
Coefficient of variation (CV)1.0040331 × 1016
Kurtosis-1.4233457
Mean9.9640184 × 10-17
Median Absolute Deviation (MAD)1.0505375
Skewness0.11824882
Sum1.1368684 × 10-13
Variance1.000841
MonotonicityNot monotonic
2024-05-15T22:54:02.807715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.05053752 237
19.9%
1.433049188 223
18.7%
-1.405335621 124
10.4%
0.7234529856 117
9.8%
-0.6957394191 116
9.7%
0.3686548844 98
8.2%
0 89
 
7.5%
1.078251087 76
 
6.4%
-0.3409413179 56
 
4.7%
0.01385678324 54
 
4.5%
ValueCountFrequency (%)
-1.405335621 124
10.4%
-1.05053752 237
19.9%
-0.6957394191 116
9.7%
-0.3409413179 56
 
4.7%
0 89
 
7.5%
0.01385678324 54
 
4.5%
0.3686548844 98
8.2%
0.7234529856 117
9.8%
1.078251087 76
 
6.4%
1.433049188 223
18.7%
ValueCountFrequency (%)
1.433049188 223
18.7%
1.078251087 76
 
6.4%
0.7234529856 117
9.8%
0.3686548844 98
8.2%
0.01385678324 54
 
4.5%
0 89
 
7.5%
-0.3409413179 56
 
4.7%
-0.6957394191 116
9.7%
-1.05053752 237
19.9%
-1.405335621 124
10.4%

71
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:02.980753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:03.118714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

72
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:03.272711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:03.410717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

73
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:03.584713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:03.717710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

74
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:03.878712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:04.021714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

75
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size88.0 KiB
-0.5892758442036962
836 
0.9548089837649293
259 
2.498893811733555
 
72
3.2709362257178674
 
20
0.0
 
3

Length

Max length19
Median length19
Mean length18.604202
Min length3

Characters and Unicode

Total characters22139
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-0.5892758442036962
2nd row-0.5892758442036962
3rd row0.9548089837649293
4th row-0.5892758442036962
5th row-0.5892758442036962

Common Values

ValueCountFrequency (%)
-0.5892758442036962 836
70.3%
0.9548089837649293 259
 
21.8%
2.498893811733555 72
 
6.1%
3.2709362257178674 20
 
1.7%
0.0 3
 
0.3%

Length

2024-05-15T22:54:04.182752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:04.350712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.5892758442036962 836
70.3%
0.9548089837649293 259
 
21.8%
2.498893811733555 72
 
6.1%
3.2709362257178674 20
 
1.7%
0.0 3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
2 2899
13.1%
9 2872
13.0%
8 2685
12.1%
4 2282
10.3%
0 2216
10.0%
5 2167
9.8%
6 1971
8.9%
3 1610
7.3%
7 1247
5.6%
. 1190
5.4%
Other values (2) 1000
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20113
90.8%
Other Punctuation 1190
 
5.4%
Dash Punctuation 836
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2899
14.4%
9 2872
14.3%
8 2685
13.3%
4 2282
11.3%
0 2216
11.0%
5 2167
10.8%
6 1971
9.8%
3 1610
8.0%
7 1247
6.2%
1 164
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 836
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2899
13.1%
9 2872
13.0%
8 2685
12.1%
4 2282
10.3%
0 2216
10.0%
5 2167
9.8%
6 1971
8.9%
3 1610
7.3%
7 1247
5.6%
. 1190
5.4%
Other values (2) 1000
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2899
13.1%
9 2872
13.0%
8 2685
12.1%
4 2282
10.3%
0 2216
10.0%
5 2167
9.8%
6 1971
8.9%
3 1610
7.3%
7 1247
5.6%
. 1190
5.4%
Other values (2) 1000
 
4.5%

76
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:04.552714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:04.683770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

77
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:04.822716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:05.178754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

78
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size88.0 KiB
-0.5646627658731139
860 
1.1532457772838565
269 
2.871154320440827
 
39
3.7301085920193127
 
17
0.0
 
5

Length

Max length19
Median length19
Mean length18.626891
Min length3

Characters and Unicode

Total characters22166
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-0.5646627658731139
2nd row1.1532457772838565
3rd row3.7301085920193127
4th row-0.5646627658731139
5th row-0.5646627658731139

Common Values

ValueCountFrequency (%)
-0.5646627658731139 860
72.3%
1.1532457772838565 269
 
22.6%
2.871154320440827 39
 
3.3%
3.7301085920193127 17
 
1.4%
0.0 5
 
0.4%

Length

2024-05-15T22:54:05.336711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:05.508711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.5646627658731139 860
72.3%
1.1532457772838565 269
 
22.6%
2.871154320440827 39
 
3.3%
3.7301085920193127 17
 
1.4%
0.0 5
 
0.4%

Most occurring characters

ValueCountFrequency (%)
6 3709
16.7%
5 2852
12.9%
7 2639
11.9%
1 2387
10.8%
3 2348
10.6%
2 1549
7.0%
8 1493
6.7%
4 1246
 
5.6%
. 1190
 
5.4%
0 999
 
4.5%
Other values (2) 1754
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20116
90.8%
Other Punctuation 1190
 
5.4%
Dash Punctuation 860
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 3709
18.4%
5 2852
14.2%
7 2639
13.1%
1 2387
11.9%
3 2348
11.7%
2 1549
7.7%
8 1493
7.4%
4 1246
 
6.2%
0 999
 
5.0%
9 894
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 860
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 3709
16.7%
5 2852
12.9%
7 2639
11.9%
1 2387
10.8%
3 2348
10.6%
2 1549
7.0%
8 1493
6.7%
4 1246
 
5.6%
. 1190
 
5.4%
0 999
 
4.5%
Other values (2) 1754
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 3709
16.7%
5 2852
12.9%
7 2639
11.9%
1 2387
10.8%
3 2348
10.6%
2 1549
7.0%
8 1493
6.7%
4 1246
 
5.6%
. 1190
 
5.4%
0 999
 
4.5%
Other values (2) 1754
7.9%

79
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:05.702716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:05.843759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

80
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:05.981756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:06.117710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

81
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size88.1 KiB
-0.6290722049644462
849 
1.5990488084275891
334 
-1.2368556253594872e-16
 
7

Length

Max length23
Median length19
Mean length18.742857
Min length18

Characters and Unicode

Total characters22304
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.5990488084275891
2nd row1.5990488084275891
3rd row1.5990488084275891
4th row-0.6290722049644462
5th row-0.6290722049644462

Common Values

ValueCountFrequency (%)
-0.6290722049644462 849
71.3%
1.5990488084275891 334
 
28.1%
-1.2368556253594872e-16 7
 
0.6%

Length

2024-05-15T22:54:06.267758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:06.428711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.6290722049644462 849
71.3%
1.5990488084275891 334
 
28.1%
1.2368556253594872e-16 7
 
0.6%

Most occurring characters

ValueCountFrequency (%)
4 4071
18.3%
2 3751
16.8%
0 3215
14.4%
9 2707
12.1%
6 2568
11.5%
8 1350
 
6.1%
. 1190
 
5.3%
7 1190
 
5.3%
- 863
 
3.9%
5 696
 
3.1%
Other values (3) 703
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20244
90.8%
Other Punctuation 1190
 
5.3%
Dash Punctuation 863
 
3.9%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4071
20.1%
2 3751
18.5%
0 3215
15.9%
9 2707
13.4%
6 2568
12.7%
8 1350
 
6.7%
7 1190
 
5.9%
5 696
 
3.4%
1 682
 
3.4%
3 14
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 863
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22297
> 99.9%
Latin 7
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4071
18.3%
2 3751
16.8%
0 3215
14.4%
9 2707
12.1%
6 2568
11.5%
8 1350
 
6.1%
. 1190
 
5.3%
7 1190
 
5.3%
- 863
 
3.9%
5 696
 
3.1%
Other values (2) 696
 
3.1%
Latin
ValueCountFrequency (%)
e 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4071
18.3%
2 3751
16.8%
0 3215
14.4%
9 2707
12.1%
6 2568
11.5%
8 1350
 
6.1%
. 1190
 
5.3%
7 1190
 
5.3%
- 863
 
3.9%
5 696
 
3.1%
Other values (3) 703
 
3.2%

82
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:06.604735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:06.738716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

83
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size87.6 KiB
0.6369309242379417
842 
-1.5819936230334724
339 
-2.463501122286675e-16
 
9

Length

Max length22
Median length18
Mean length18.315126
Min length18

Characters and Unicode

Total characters21795
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.5819936230334724
2nd row0.6369309242379417
3rd row-1.5819936230334724
4th row0.6369309242379417
5th row0.6369309242379417

Common Values

ValueCountFrequency (%)
0.6369309242379417 842
70.8%
-1.5819936230334724 339
28.5%
-2.463501122286675e-16 9
 
0.8%

Length

2024-05-15T22:54:06.901716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:07.072716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.6369309242379417 842
70.8%
1.5819936230334724 339
28.5%
2.463501122286675e-16 9
 
0.8%

Most occurring characters

ValueCountFrequency (%)
3 3891
17.9%
9 3204
14.7%
2 2398
11.0%
4 2371
10.9%
6 2059
9.4%
0 2032
9.3%
7 2032
9.3%
1 1547
 
7.1%
. 1190
 
5.5%
- 357
 
1.6%
Other values (3) 714
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20239
92.9%
Other Punctuation 1190
 
5.5%
Dash Punctuation 357
 
1.6%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3891
19.2%
9 3204
15.8%
2 2398
11.8%
4 2371
11.7%
6 2059
10.2%
0 2032
10.0%
7 2032
10.0%
1 1547
 
7.6%
5 357
 
1.8%
8 348
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 357
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21786
> 99.9%
Latin 9
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3891
17.9%
9 3204
14.7%
2 2398
11.0%
4 2371
10.9%
6 2059
9.5%
0 2032
9.3%
7 2032
9.3%
1 1547
 
7.1%
. 1190
 
5.5%
- 357
 
1.6%
Other values (2) 705
 
3.2%
Latin
ValueCountFrequency (%)
e 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3891
17.9%
9 3204
14.7%
2 2398
11.0%
4 2371
10.9%
6 2059
9.4%
0 2032
9.3%
7 2032
9.3%
1 1547
 
7.1%
. 1190
 
5.5%
- 357
 
1.6%
Other values (3) 714
 
3.3%

84
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size86.2 KiB
0.642183732540724
836 
-1.57438592493855
341 
-2.4608866694189867e-16
 
13

Length

Max length23
Median length17
Mean length17.065546
Min length17

Characters and Unicode

Total characters20308
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.642183732540724
2nd row0.642183732540724
3rd row0.642183732540724
4th row0.642183732540724
5th row-1.57438592493855

Common Values

ValueCountFrequency (%)
0.642183732540724 836
70.3%
-1.57438592493855 341
28.7%
-2.4608866694189867e-16 13
 
1.1%

Length

2024-05-15T22:54:07.247712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:07.417717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.642183732540724 836
70.3%
1.57438592493855 341
28.7%
2.4608866694189867e-16 13
 
1.1%

Most occurring characters

ValueCountFrequency (%)
4 3216
15.8%
2 2862
14.1%
3 2354
11.6%
5 2200
10.8%
7 2026
10.0%
0 1685
8.3%
8 1570
7.7%
1 1203
 
5.9%
. 1190
 
5.9%
6 914
 
4.5%
Other values (3) 1088
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18738
92.3%
Other Punctuation 1190
 
5.9%
Dash Punctuation 367
 
1.8%
Lowercase Letter 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3216
17.2%
2 2862
15.3%
3 2354
12.6%
5 2200
11.7%
7 2026
10.8%
0 1685
9.0%
8 1570
8.4%
1 1203
 
6.4%
6 914
 
4.9%
9 708
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 367
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20295
99.9%
Latin 13
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3216
15.8%
2 2862
14.1%
3 2354
11.6%
5 2200
10.8%
7 2026
10.0%
0 1685
8.3%
8 1570
7.7%
1 1203
 
5.9%
. 1190
 
5.9%
6 914
 
4.5%
Other values (2) 1075
 
5.3%
Latin
ValueCountFrequency (%)
e 13
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 3216
15.8%
2 2862
14.1%
3 2354
11.6%
5 2200
10.8%
7 2026
10.0%
0 1685
8.3%
8 1570
7.7%
1 1203
 
5.9%
. 1190
 
5.9%
6 914
 
4.5%
Other values (3) 1088
 
5.4%

85
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:07.588710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:07.729717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

86
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:07.881764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:08.011752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

87
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
0.0
1190 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3570
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1190
100.0%

Length

2024-05-15T22:54:08.170711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-15T22:54:08.310716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1190
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2380
66.7%
Other Punctuation 1190
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2380
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2380
66.7%
. 1190
33.3%

Interactions

2024-05-15T22:53:38.876462image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:32.483448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.481302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.502373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.563374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:36.781373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.804461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:39.014468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:32.620198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.618283image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.648379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.693374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:36.922377image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.937471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:39.192463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:32.762153image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.758379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.793416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.839374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.081411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:38.090466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:39.359460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:32.921240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.928374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.949373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.998376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.235423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:38.252483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:39.504462image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.059354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.066373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.099374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:36.174374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.376379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:38.406463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:39.652465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.205353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.208379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.261375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:36.317379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.518461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:38.541461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:39.819468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:33.340349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:34.342373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:35.409374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:36.632372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:37.655513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-15T22:53:38.700467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-05-15T22:54:08.424711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
012337383945669707578818384
01.0000.3840.0800.212-0.0240.0590.0130.2010.1170.107-0.0270.0280.0000.0000.0000.0220.066
10.3841.0000.023-0.089-0.0180.0480.041-0.0980.0830.2380.048-0.0260.0000.0920.0900.0380.049
20.0800.0231.0000.318-0.0530.101-0.0110.3330.1720.055-0.024-0.0590.0800.0000.0750.0000.000
30.212-0.0890.3181.000-0.0450.0430.0060.8650.4340.054-0.0430.0350.0130.0000.0320.0170.000
37-0.024-0.018-0.053-0.0451.0000.559-0.708-0.0150.0620.0470.0140.0510.0870.0320.1310.0160.026
380.0590.0480.1010.0430.5591.000-0.534-0.0710.0440.0700.0220.0440.0630.0370.0810.0000.000
390.0130.041-0.0110.006-0.708-0.5341.000-0.0130.0910.0000.033-0.0970.0850.0350.0770.0390.039
40.201-0.0980.3330.865-0.015-0.071-0.0131.0000.4490.059-0.0400.0410.0000.0000.0440.0000.000
50.1170.0830.1720.4340.0620.0440.0910.4491.0000.073-0.0970.0860.0160.0000.0690.0340.051
60.1070.2380.0550.0540.0470.0700.0000.0590.0731.000-0.0210.0440.0330.0000.0370.0550.000
69-0.0270.048-0.024-0.0430.0140.0220.033-0.040-0.097-0.0211.000-0.1150.0760.0000.0620.0420.043
700.028-0.026-0.0590.0350.0510.044-0.0970.0410.0860.044-0.1151.0000.1160.0400.1150.0220.141
750.0000.0000.0800.0130.0870.0630.0850.0000.0160.0330.0760.1161.0000.3900.4930.4070.345
780.0000.0920.0000.0000.0320.0370.0350.0000.0000.0000.0000.0400.3901.0000.5980.5260.435
810.0000.0900.0750.0320.1310.0810.0770.0440.0690.0370.0620.1150.4930.5981.0000.5340.445
830.0220.0380.0000.0170.0160.0000.0390.0000.0340.0550.0420.0220.4070.5260.5341.0000.524
840.0660.0490.0000.0000.0260.0000.0390.0000.0510.0000.0430.1410.3450.4350.4450.5241.000

Missing values

2024-05-15T22:53:40.309465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-15T22:53:40.965287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

0123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687
01.4961410.7088902.003196-0.450386-0.1112611.0895051.5205080.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0-0.292002-1.121487-0.7095040.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0-0.153281-0.3409410.00.00.00.0-0.5892760.00.0-0.5646630.00.01.5990490.0-1.5819946.421837e-010.00.00.0
1-0.4758080.7088900.677019-0.881566-1.070890-1.381710-1.2560720.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.5538120.315495-0.7095040.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0-0.223491-1.0505380.00.00.00.0-0.5892760.00.01.1532460.00.01.5990490.00.6369316.421837e-010.00.00.0
2-0.7447100.708890-0.649158-0.881566-1.0708901.0895050.5949810.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.5538120.315495-0.7095040.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.829651-0.6957390.00.00.00.00.9548090.00.03.7301090.00.01.5990490.0-1.5819946.421837e-010.00.00.0
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